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Sagemaker

Latest version: v2.224.1

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1.4.0

Not secure
* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans
* bug-fix: Estimators: Remove unused argument job_details for ``EstimatorBase.attach()``
* bug-fix: Local Mode: Show logs in Jupyter notebooks
* feature: HyperparameterTuner: Add support for hyperparameter tuning jobs
* feature: Analytics: Add functions for metrics in Training and Hyperparameter Tuning jobs
* feature: Estimators: add support for tagging training jobs

1.3.0

Not secure
* feature: Add chainer

1.2.5

Not secure
* bug-fix: Change module names to string type in __all__
* feature: Save training output files in local mode
* bug-fix: tensorflow-serving-api: SageMaker does not conflict with tensorflow-serving-api module version
* feature: Local Mode: add support for local training data using file://
* feature: Updated TensorFlow Serving api protobuf files
* bug-fix: No longer poll for logs from stopped training jobs

1.2.4

Not secure
* feature: Estimators: add support for Amazon Random Cut Forest algorithm

1.2.3

Not secure
* bug-fix: Fix local mode not using the right s3 bucket

1.2.2

Not secure
* bug-fix: Estimators: fix valid range of hyper-parameter 'loss' in linear learner

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